Personal Identification Using Facial Feature and Context

DOI 11 References
  • YAMAGUCHI Junpei
    Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
  • SHIMADA Kazutaka
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • ENOKIDA Shuichi
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • EJIMA Toshiaki
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • ENDO Tsutomu
    Department of Artificial Intelligence, Kyushu Institute of Technology

Bibliographic Information

Other Title
  • 顔特徴とコンテキスト情報に基づく人物識別
  • カオ トクチョウ ト コンテキスト ジョウホウ ニ モトズク ジンブツ シキベツ

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Abstract

In this paper, we propose a method for personal identification using facial features and context information. The method can overcome a problem of partially occluded images. In the proposal method, facial similarity is calculated by using CLAFIC method from the full image of face and the parts of face image, such as the image of eyes. Moreover, we focus on clothes of each target person as the context information. In this method, the similarity of clothes is calculated by using four features. Then, from the two similarities, the person in the input image can be identified. In the experiments, it can be confirmed that proposal method is better than the method using only the face image similarity.

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Details

  • CRID
    1390282680162293760
  • NII Article ID
    10028090351
  • NII Book ID
    AA1181479X
  • DOI
    10.3156/jsoft.23.137
  • ISSN
    18817203
    13477986
  • NDL BIB ID
    11093936
  • Text Lang
    ja
  • Data Source
    • JaLC
    • NDL
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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